About the Book
This book discusses the latest progresses and developments on complex systems research and intends to give an exposure to prospective readers about the theoretical and practical aspects of mathematical modelling, numerical simulation and agent-based modelling frameworks. The main purpose of this book is to emphasize a unified approach to complex systems analysis, which goes beyond to examine complicated phenomena of numerous real-life systems; this is done by investigating a huge number of components that interact with each other at different (microscopic and macroscopic) scales; new insights and emergent collective behaviours can evolve from the interactions between individual components and also with their environments. These tools and concepts permit us to better understand the patterns of various real-life systems and help us to comprehend the mechanisms behind which distinct factors shaping some complex systems phenomena being influenced.
This book is published in conjunction with the International Workshop on Complex Systems Modelling & Simulation 2019 (CoSMoS 2019): IoT & Big Data Integration. This international event was held at the Universiti Sains Malaysia Main Campus, Penang, Malaysia, from 8 to 11 April 2019.
This book appeals to readers interested in complex systems research and other related areas such as mathematical modelling, numerical simulation and agent-based modelling frameworks.
Table of Contents:
Mohd Hafiz Mohd, Md. Yushalify Misro & Syakila Ahmad, Ch 1: Editorial Notes.- PART I: Agent-Based Modelling (ABM) in Complex Systems.- S. Takatani and H. Haga, Ch 2: Simulation of Japanese National Diet Members Election System using Agent-based Modeling.- M. H. Mohd & L. Lee Wen Feng, Ch 3: Modelling the Dilution and Amplification Effects on Sin Nombre Virus (SNV) in Deer Mouse.- A. Brugière, M. D. Pham, K. Chapuis, A. Drogoul, B. Gaudou, A. Grignard, N. Marilleau & N.-H. Tri, Ch 4: Experimenting the impact of pedestrianisation on urban pollution using tangible agent-based simulations.- K. Chapuis, T. A. Elwaqoudi, A. Brugiere, E. Daude, A. Drogoul, B. Gaudou, D. Nguyen-Ngoc, H. Q. Nghi & J.-D. Zucker, Ch 5: An agent-based co-modeling approach to simulate the evacuation of a population in the context of a realistic flooding event.- M. H. Mohd & L. Lee Wen Feng, Ch 6: Agent-Based Modelling using GAMA 1.8 with Applications to Biological System in Epidemiology.- Part II: Deterministic Modelling and Simulation of Complex Systems, M. Diaby, O. Diop, E. Nassouri, A. Sene & Mariama Sene, Ch 7: Mathematical Analysis of Fasciola Epidemic Model with Treatment and Quarantine.- P. Gabrielle B. Calderon, Lean V. Palma, F. Kappel & Aurelio A. de los Reyes V, Ch 8: Control, Sensitivity and Identification of a Cardiovascular-Respiratory System Model.- A. Lao, J. M. Claire Edra, K. D. Talag, D. Senna Tan, G. Oyong, M. Noel, Ma. Luisa Enriquez & M. C. Tan, Ch 9: Cytotoxic Activity of Raphanus Sativus Linn. On Selected Cancer Cell Lines and Mechanistic Pathways Predicted Through Mathematical Modeling.- F. Sulayman, M. H. Mohd & F. A. Abdullah, Ch 10: Bifurcation Analysis of a Tuberculosis Model with the Risk of Re-infection.- C. J. Tay, Su Yean Teh, H. Lye Koh, M. H. Mohd & Z. Zhang, Ch 11: Managing Regime Shift in Lake Systems by Modelling and Simulation.- N. Ramli & S. Ahmad, Ch 12: Stability Analysis of agnetohydrodynamic Mixed Convection Flow and HeatTransfer over a Moving Flat Plate in Ferrofluids with Suction and Slip Effects.- PART III: Data Science and Optimization of Complex Systems, R. R. Oryan, J. M. Addawe & D. Tubera-Panes, Ch 13: Modeling and Analysis of the Dengue Activity in Baguio City Using Two-mode and One-mode Networks.- L. Ville A. Balino, K. S. Caasi & Rizavel C. Addawe, Ch 14: Spatio-temporal distribution of dengue infections in Baguio City, Philippines.- N. S. Abd Naeeim, N. A. Rahman & F. A. Muhammad Fahimi, Ch 15: Spatio-Temporal Weekly Trends of Dengue Fever in Peninsular Malaysia for Year 2015, 2016 and 2017.- R. Addawe, G. M. Angeles & M. Balolong, Ch 16: Spatio-temporal Analysis of Measles Cases in Baguio City, Philippines from 2010-2018.- N. Ignacio, R. Liwag & R. Addawe, Ch 17: Spatio-temporal Analysis of Typhoid Cases in Baguio City, Philippines.- N. A. Ahmad & S. Javed, Ch 18: Chaotic Time Series Prediction Using Random Fourier Feature Kernel Least Mean Square Algorithm with Adaptive KernelSize.- R. Y. Zehi & N. S. Nana Khurizan, Ch 19: A Robust DEA Model to Handle the Uncertainty in Production Trade-offs.- M. L. Malumfashi, M. Tahir Ismail, B. Bature, D. Sani & M. K. Majahar Ali, Ch 20: An EPQ Model for Delayed Deteriorating Items with Two-Phase Production Periods, Variable Demand Rates and Linear Holding Cost.- M. L. Malumfashi, M. T. Ismail, A. Rahman, D. Sani & M. K. Majahar Ali, Ch 21: An EPQ Model for Delayed Deteriorating Items with Variable Production Rates, Two-Phase Demand Rates and Shortages.- Md. M. Rahman, Mohd. Tahir Ismail, A. F. Mohd Sadullah, N. S. Nana Khurizan and M. K. Majahar Ali, Ch 22: Binary Decision for Discretionary Lane Changing by Time-Effects Factors.- Md. Mijanoor Rahman, Mohd. T. Ismail & M. K. Majahar AliCh, 23: Lane Changing Effects on Surrounding Vehicles by Incorporating the Risk Factors.
